claims-advisory-scoring-model / model_metadata.json
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Add trained model artifacts and synthetic data generator
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{
"model_type": "XGBoost Classifier",
"model_architecture": "Classical ML (tree-based gradient boosting)",
"governance_status": "ADVISORY ONLY - NO AUTONOMOUS DECISIONS",
"human_review_required": true,
"training_date": "2026-01-04T16:44:20.621562",
"dataset": "BDR-AI/insurance_decision_boundaries_v1",
"dataset_type": "synthetic",
"features": [
"claim_type",
"damage_amount",
"injury_involved",
"risk_factor"
],
"target": "severity (advisory levels: Low/Medium/High)",
"decision_boundaries": {
"damage_thresholds": {
"low": 5000,
"medium": 15000,
"high": 50000
},
"risk_weights": {
"low": 1.0,
"medium": 1.5,
"high": 2.0
},
"injury_multiplier": 1.8,
"severity_thresholds": {
"low": 5,
"medium": 15
}
},
"metrics": {
"accuracy": 0.99,
"classification_report": {
"high": {
"precision": 0.9583333333333334,
"recall": 1.0,
"f1-score": 0.9787234042553191,
"support": 46.0
},
"low": {
"precision": 1.0,
"recall": 1.0,
"f1-score": 1.0,
"support": 64.0
},
"medium": {
"precision": 1.0,
"recall": 0.9777777777777777,
"f1-score": 0.9887640449438202,
"support": 90.0
},
"accuracy": 0.99,
"macro avg": {
"precision": 0.9861111111111112,
"recall": 0.9925925925925926,
"f1-score": 0.9891624830663798,
"support": 200.0
},
"weighted avg": {
"precision": 0.9904166666666667,
"recall": 0.99,
"f1-score": 0.9900502032034424,
"support": 200.0
}
},
"confusion_matrix": [
[
46,
0,
0
],
[
0,
64,
0
],
[
2,
0,
88
]
],
"feature_importance": {
"claim_type": 0.0050552659668028355,
"damage_amount": 0.5835694074630737,
"injury_involved": 0.2242950052022934,
"risk_factor": 0.18708032369613647
}
}
}